9.28
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.3 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(ggridges)
weather_df =
rnoaa::meteo_pull_monitors(
c("USW00094728", "USW00022534", "USS0023B17S"),
var = c("PRCP", "TMIN", "TMAX"),
date_min = "2021-01-01",
date_max = "2022-12-31") |>
mutate(
name = recode(
id,
USW00094728 = "CentralPark_NY",
USC00519397 = "Molokai_HI",
USS0023B17S = "Waterhole_WA"),
tmin = tmin / 10,
tmax = tmax / 10) |>
select(name, id, everything())
## using cached file: /Users/apple/Library/Caches/org.R-project.R/R/rnoaa/noaa_ghcnd/USW00094728.dly
## date created (size, mb): 2023-09-28 10:18:52.967797 (8.524)
## file min/max dates: 1869-01-01 / 2023-09-30
## using cached file: /Users/apple/Library/Caches/org.R-project.R/R/rnoaa/noaa_ghcnd/USW00022534.dly
## date created (size, mb): 2023-09-28 10:18:59.097334 (3.83)
## file min/max dates: 1949-10-01 / 2023-09-30
## using cached file: /Users/apple/Library/Caches/org.R-project.R/R/rnoaa/noaa_ghcnd/USS0023B17S.dly
## date created (size, mb): 2023-09-28 10:19:01.293988 (0.994)
## file min/max dates: 1999-09-01 / 2023-09-30
ggplot(weather_df, aes(x = tmin, y = tmax))
ggplot(weather_df, aes(x = tmin, y = tmax)) +
geom_point()
## Warning: Removed 17 rows containing missing values (`geom_point()`).
weather_df |>
ggplot(aes(x = tmin, y = tmax)) +
geom_point()
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggp_weather =
weather_df |>
ggplot(aes(x = tmin, y = tmax))
ggp_weather + geom_point()
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df, aes(x = tmin, y = tmax)) +
geom_point(aes(color = name))
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df, aes(x = tmin, y = tmax)) +
geom_point(aes(color = name), alpha = .3) +
geom_smooth(se = FALSE)
## `geom_smooth()` using method = 'gam' and formula = 'y ~ s(x, bs = "cs")'
## Warning: Removed 17 rows containing non-finite values (`stat_smooth()`).
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df, aes(x = tmin, y = tmax, color = name)) +
geom_point(alpha = .3) +
geom_smooth(se = FALSE) +
facet_grid(. ~ name)
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
## Warning: Removed 17 rows containing non-finite values (`stat_smooth()`).
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df, aes(x = date, y = tmax, color = name)) +
geom_point(aes(size = prcp), alpha = .5) +
geom_smooth(se = FALSE) +
facet_grid(. ~ name)
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
## Warning: Removed 17 rows containing non-finite values (`stat_smooth()`).
## Warning: Removed 19 rows containing missing values (`geom_point()`).
weather_df |>
filter(name == "CentralPark_NY") |>
mutate(
tmax_fahr = tmax * (9 / 5) + 32,
tmin_fahr = tmin * (9 / 5) + 32) |>
ggplot(aes(x = tmin_fahr, y = tmax_fahr)) +
geom_point(alpha = .5) +
geom_smooth(method = "lm", se = FALSE)
## `geom_smooth()` using formula = 'y ~ x'
ggplot(weather_df, aes(x = date, y = tmax, color = name)) +
geom_smooth(se = FALSE)
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
## Warning: Removed 17 rows containing non-finite values (`stat_smooth()`).
ggplot(weather_df) + geom_point(aes(x = tmax, y = tmin), color = "blue")
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df) + geom_point(aes(x = tmax, y = tmin, color = "blue"))
## Warning: Removed 17 rows containing missing values (`geom_point()`).
ggplot(weather_df, aes(x = tmax, fill = name)) +
geom_histogram(position = "dodge", binwidth = 2)
## Warning: Removed 17 rows containing non-finite values (`stat_bin()`).
ggplot(weather_df, aes(x = tmax, fill = name)) +
geom_density(alpha = .4, adjust = .5, color = "blue")
## Warning: Removed 17 rows containing non-finite values (`stat_density()`).
ggplot(weather_df, aes(x = name, y = tmax)) + geom_boxplot()
## Warning: Removed 17 rows containing non-finite values (`stat_boxplot()`).
ggplot(weather_df, aes(x = name, y = tmax)) +
geom_violin(aes(fill = name), alpha = .5) +
stat_summary(fun = "median", color = "blue")
## Warning: Removed 17 rows containing non-finite values (`stat_ydensity()`).
## Warning: Removed 17 rows containing non-finite values (`stat_summary()`).
## Warning: Removed 3 rows containing missing values (`geom_segment()`).
ggplot(weather_df, aes(x = tmax, y = name)) +
geom_density_ridges(scale = .85)
## Picking joint bandwidth of 1.54
## Warning: Removed 17 rows containing non-finite values
## (`stat_density_ridges()`).
ggp_weather =
ggplot(weather_df, aes(x = tmin, y = tmax)) +
geom_point(aes(color = name), alpha = .5)
ggsave("ggp_weather.pdf", ggp_weather, width = 8, height = 5)
## Warning: Removed 17 rows containing missing values (`geom_point()`).
knitr::opts_chunk$set(
fig.width = 6,
fig.asp = .6,
out.width = "90%"
)
ggplot(weather_df, aes(x = tmin, y = tmax)) +
geom_point(aes(color = name))
## Warning: Removed 17 rows containing missing values (`geom_point()`).
